Welcome to the website of Elijah Z. Bernstein-Cooper.

You will quickly find that I pursue a diverse set of interests. The common theme amongst all of my endeavors however, is the attention to quality.

Curiosity drives my pursuit to develop questions, models, or code. Explore this site and you'll see diversity in my explorations of data science. Visit my blogs on different data science projects, or explore the extensive Python code I've developed to accomplish various projects.

I outline my steps to predict user interest in traveling for Air B&B. I adopt a neural network regression routine in Python to predict which country a user will travel to next.

Map of dust of three molecular clouds in our own galaxy. Adopted Bayesian priors to identify the dense cores shown as white crosses.

Outlines steps to build this site locally on Fedora with Jekyll.
Show the status and branch of your git repo by the color of bash prompt.

Various Python modules for plotting, data analysis, and data reduction.

### Below are the most recent posts from each of my blogs

The following analysis was performed with Lee+12 $A_V$ map: /d/bip3/ezbc/perseus/data/av/perseus_av_lee12_iris_regrid_planckres.fits

These results are completed after reorganizing the parameter estimation code. We should be more confident in these results than previous ones, seeing as each step of the new code was modularized and tested to some extent.

Below are background subtracted images of California, Using a simple mean offset, and a 2D spline fit. The regions outlined in white in the top panel represent the background regions used to fit the intercept and spline.

## Data Update

I have investigated the dependence of derived parameters, $HI$ width, DGR, and intercept based on the selection of region in the California cloud.

I am continuing the discussion on using $A_V$ intercepts.

I’ve been attending the Penn State University Summer School for Statistics. Here is the program. I’ve highlighted a few key points from some of the lectures.

Determine relevance of including an intercept in the model. This means we would solve for the DGR, $HI$ width and an intercept for each cloud. Previous attempts to include an intercept led to large intercepts, on order of negative several magnitudes in $A_V$. See this post for more details.

The most recent project of mine was a foldable cedar drying rack. The rack spanned about 14 inches across. I included a lower rack to accommodate cups.

The K+09 derived their column density calculations from the analytic model from krumholz08 of $H_2$ formation and photodissociation of a spherical cloud bathed in a uniform ISRF.\@ See krumholz09 and krumholz08 for details in the derivation, and a summary of the results in lee12. Here we quickly summarize the important assumptions and results.
I successfully fit the Sternberg model to the $\Sigma_{HI}$ vs. $\Sigma_H$ relationship. I assumed that our case is a two-sided irradiation by an isotropic field, where they predict an $\Sigma_{HI}$ threshold given by
I successfully fit the Sternberg model to the $\Sigma_{HI}$ vs. $\Sigma_H$ relationship. I assumed that our case is a two-sided irradiation by an isotropic field, where they predict an $\Sigma_{HI}$ threshold given by